Patents by Inventor Ya Pei Zhou

Ya Pei Zhou has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Dynamic anti-disturb techniques in telephony
    Patent number: 11252277
    Abstract: Filtering incoming calls according to predicted preferences of a user. User preferences are predicted by analysis of user behavior, online activity, oral queues, and purchasing history. Data analysis includes weighting caller and user attributes according to a scheme that is dynamically updated by applying user feedback and/or machine learning processes.
    Type: Grant
    Filed: November 22, 2019
    Date of Patent: February 15, 2022
    Assignee: International Business Machines Corporation
    Inventors: Yong Fang Liang, Yi Bin Wang, Ya Pei Zhou, Ting Cao, Li Ni Zhang
  • Analyzing software change impact based on machine learning
    Patent number: 11200043
    Abstract: Analyzing software change impact is provided. Feedback is received regarding a predicted impact of a software change to a set of components of a service. It is determined whether the predicted impact of the software change is correct based on the feedback. In response to determining that the predicted impact of the software change is correct based on the feedback, the software change is applied to the set of components of the service increasing performance of the service and a server computer hosting the service.
    Type: Grant
    Filed: July 30, 2018
    Date of Patent: December 14, 2021
    Assignee: International Business Machines Corporation
    Inventors: Hui Qing Shi, Yi Bin Wang, Yuan Yuan, Ya Pei Zhou, Wei Wang
  • DYNAMIC ANTI-DISTURB TECHNIQUES IN TELEPHONY
    Publication number: 20210160368
    Abstract: Filtering incoming calls according to predicted preferences of a user. User preferences are predicted by analysis of user behavior, online activity, oral queues, and purchasing history. Data analysis includes weighting caller and user attributes according to a scheme that is dynamically updated by applying user feedback and/or machine learning processes.
    Type: Application
    Filed: November 22, 2019
    Publication date: May 27, 2021
    Inventors: Yong Fang Liang, Yi Bin Wang, Ya Pei Zhou, Ting Cao, Li Ni Zhang
  • Cognitive method for detecting service availability in a cloud environment
    Patent number: 10778785
    Abstract: Cognitively detecting cloud services and their associated status of a Virtual Machine and/or Container in a cloud platform to predict availability of cloud services preferably including the status of the services, a service object health map, and a service health status. The outputs are preferably sent to a user for feedback, which is sent back to the cognitive service.
    Type: Grant
    Filed: November 28, 2017
    Date of Patent: September 15, 2020
    Assignee: International Business Machines Corporation
    Inventors: Hui Qing Shi, Wei Wang, Yi Bin Wang, Yuan Yuan, Ya Pei Zhou
  • ANALYZING SOFTWARE CHANGE IMPACT BASED ON MACHINE LEARNING
    Publication number: 20200034135
    Abstract: Analyzing software change impact is provided. Feedback is received regarding a predicted impact of a software change to a set of components of a service. It is determined whether the predicted impact of the software change is correct based on the feedback. In response to determining that the predicted impact of the software change is correct based on the feedback, the software change is applied to the set of components of the service increasing performance of the service and a server computer hosting the service.
    Type: Application
    Filed: July 30, 2018
    Publication date: January 30, 2020
    Inventors: Hui Qing Shi, Yi Bin Wang, Yuan Yuan, Ya Pei Zhou, Wei Wang
  • COGNITIVE METHOD FOR DETECTING SERVICE AVAILABILITY IN A CLOUD ENVIRONMENT
    Publication number: 20190166208
    Abstract: Cognitively detecting cloud services and their associated status of a Virtual Machine and/or Container in a cloud platform to predict availability of cloud services preferably including the status of the services, a service object health map, and a service health status. The outputs are preferably sent to a user for feedback, which is sent back to the cognitive service.
    Type: Application
    Filed: November 28, 2017
    Publication date: May 30, 2019
    Inventors: Hui Qing Shi, Wei Wang, Yi Bin Wang, Yuan Yuan, Ya Pei Zhou